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NeoLoad Performance Testing training is designed to help learners master load & performance testing for modern web & enterprise applications. It focuses on simulating real-world traffic, analyzing system behavior, and optimizing application performance under varying loads. This training is important as it ensures software reliability, scalability & efficiency before deployment. It is ideal for Performance Test Engineers, QA Analysts, DevOps Professionals & anyone involved in performance testing or system optimization.
Duration of Training : 40 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Projects: 2 Real-Time Projects
Assignments: Included after each module
Curriculum Designed by Experts
• Fundamentals of performance testing
• Types of performance testing: load, stress, endurance, spike
• Understanding performance metrics (response time, throughput, TPS)
• Role of performance testing in SDLC
• Overview of industry tools — where NeoLoad fits in
• What is NeoLoad and why it’s used
• NeoLoad architecture and key components
• Comparison with other tools (LoadRunner, JMeter, K6)
• Supported protocols and integrations
• Installation and environment setup
• Overview of NeoLoad UI
• Project structure and navigation
• Workbench overview: Design, Runtime, and Results
• Understanding NeoLoad terminology (User Path, Scenario, Population, etc.)
• Configuring general project settingsÂ
• Recording web and API scripts in NeoLoad
• Recording modes and proxy configurations
• Handling dynamic parameters and correlations
• Adding transactions and validations
• Parameterization using variable extractors and datasets
• Using think time and pacing strategies
• Correlation – dynamic value extraction techniques
• Customizing requests with JavaScript actions
• Using random data, loops, and conditions
• Adding checks for response validation
• Replaying and debugging recorded scriptsÂ
• Introduction to load scenarios in NeoLoad
• Populations, user paths, and runtime settings
• Defining load policies (ramp-up, constant, peak, spike)
• Using zones and load generators
• Configuring test duration and scheduling
• Running load tests in NeoLoad
• Real-time monitoring of virtual users and KPIs
• Understanding test execution logs
• Monitoring server and infrastructure performance
• Integrating with APM tools (Dynatrace, AppDynamics, etc.)
• Post-test analysis and performance KPIs
• Interpreting graphs (response times, errors, throughput, hits/sec)
• Identifying performance bottlenecks
• Generating HTML/PDF reports
• Comparing multiple test results for trend analysis
• Continuous testing with CI/CD (Jenkins, Azure DevOps, GitLab)
• Scripting NeoLoad tests via command line and APIs
• Integrating with Git for version control
• Using NeoLoad Web for collaboration and centralized analysis
• Automated report generation and notification setup
• Testing REST and SOAP APIs
• Using NeoLoad for SAP, Citrix, and mobile apps (overview)
• Cloud-based performance testing setup
• Licensing models and virtual user management
• Performance testing best practices and optimization tips
• Debugging failed test cases
• Handling timeouts, connection resets, and server errors
• Analyzing root causes of performance issues
• Optimizing scripts and infrastructure configurations
Project 1:Â Web Application Performance Testing using NeoLoad
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